TY - JOUR
T1 - The 2018 correlative microscopy techniques roadmap
AU - Ando, Toshio
AU - Bhamidimarri, Satya Prathyusha
AU - Brending, Niklas
AU - Colin-York, H.
AU - Collinson, Lucy
AU - De Jonge, Niels
AU - de Pablo, P. J.
AU - Debroye, Elke
AU - Eggeling, Christian
AU - Franck, Christian
AU - Fritzsche, Marco
AU - Gerritsen, Hans
AU - Giepmans, Ben N. G.
AU - Grunewald, Kay
AU - Hofkens, Johan
AU - Hoogenboom, Jacob P.
AU - Janssen, Kris P. F.
AU - Kaufman, Rainer
AU - Klumpermann, Judith
AU - Kurniawan, Nyoman
AU - Kusch, Jana
AU - Liv, Nalan
AU - Parekh, Viha
AU - Peckys, Diana B.
AU - Rehfeldt, Florian
AU - Reutens, David C.
AU - Roeffaers, Maarten B. J.
AU - Salditt, Tim
AU - Schaap, Iwan A. T.
AU - Schwarz, Ulrich S.
AU - Verkade, Paul
AU - Vogel, Michael W.
AU - Wagner, Richard
AU - Winterhalter, Mathias
AU - Yuan, Haifeng
AU - Zifarelli, Giovanni
PY - 2018/11/7
Y1 - 2018/11/7
N2 - Developments in microscopy have been instrumental to progress in the life sciences, and many new techniques have been introduced and led to new discoveries throughout the last century. A wide and diverse range of methodologies is now available, including electron microscopy, atomic force microscopy, magnetic resonance imaging, small-angle x-ray scattering and multiple super-resolution fluorescence techniques, and each of these methods provides valuable read-outs to meet the demands set by the samples under study. Yet, the investigation of cell development requires a multi-parametric approach to address both the structure and spatio-temporal organization of organelles, and also the transduction of chemical signals and forces involved in cell-cell interactions. Although the microscopy technologies for observing each of these characteristics are well developed, none of them can offer read-out of all characteristics simultaneously, which limits the information content of a measurement. For example, while electron microscopy is able to disclose the structural layout of cells and the macromolecular arrangement of proteins, it cannot directly follow dynamics in living cells. The latter can be achieved with fluorescence microscopy which, however, requires labelling and lacks spatial resolution. A remedy is to combine and correlate different readouts from the same specimen, which opens new avenues to understand structure-function relations in biomedical research. At the same time, such correlative approaches pose new challenges concerning sample preparation, instrument stability, region of interest retrieval, and data analysis. Because the field of correlative microscopy is relatively young, the capabilities of the various approaches have yet to be fully explored, and uncertainties remain when considering the best choice of strategy and workflow for the correlative experiment. With this in mind, the Journal of Physics D: Applied Physics presents a special roadmap on the correlative microscopy techniques, giving a comprehensive overview from various leading scientists in this field, via a collection of multiple short viewpoints.
AB - Developments in microscopy have been instrumental to progress in the life sciences, and many new techniques have been introduced and led to new discoveries throughout the last century. A wide and diverse range of methodologies is now available, including electron microscopy, atomic force microscopy, magnetic resonance imaging, small-angle x-ray scattering and multiple super-resolution fluorescence techniques, and each of these methods provides valuable read-outs to meet the demands set by the samples under study. Yet, the investigation of cell development requires a multi-parametric approach to address both the structure and spatio-temporal organization of organelles, and also the transduction of chemical signals and forces involved in cell-cell interactions. Although the microscopy technologies for observing each of these characteristics are well developed, none of them can offer read-out of all characteristics simultaneously, which limits the information content of a measurement. For example, while electron microscopy is able to disclose the structural layout of cells and the macromolecular arrangement of proteins, it cannot directly follow dynamics in living cells. The latter can be achieved with fluorescence microscopy which, however, requires labelling and lacks spatial resolution. A remedy is to combine and correlate different readouts from the same specimen, which opens new avenues to understand structure-function relations in biomedical research. At the same time, such correlative approaches pose new challenges concerning sample preparation, instrument stability, region of interest retrieval, and data analysis. Because the field of correlative microscopy is relatively young, the capabilities of the various approaches have yet to be fully explored, and uncertainties remain when considering the best choice of strategy and workflow for the correlative experiment. With this in mind, the Journal of Physics D: Applied Physics presents a special roadmap on the correlative microscopy techniques, giving a comprehensive overview from various leading scientists in this field, via a collection of multiple short viewpoints.
KW - correlative microscopy
KW - fluorescence microscopy
KW - x-ray microscopy
KW - electron microscopy
KW - magnetic resonance imaging
KW - atomic force microscopy
KW - super-resolution microscopy
KW - SCANNING-ELECTRON-MICROSCOPY
KW - ATOMIC-FORCE MICROSCOPY
KW - HIGH-RESOLUTION
KW - SUPERRESOLUTION FLUORESCENCE
KW - INTEGRATED LIGHT
KW - LOCALIZATION MICROSCOPY
KW - ENDOGENOUS PROTEINS
KW - OPTICAL MICROSCOPY
KW - MEMBRANE-PROTEINS
KW - LIVING CELLS
U2 - 10.1088/1361-6463/aad055
DO - 10.1088/1361-6463/aad055
M3 - Review article
VL - 51
JO - Journal of Physics D-Applied Physics
JF - Journal of Physics D-Applied Physics
SN - 0022-3727
IS - 44
M1 - 443001
ER -